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Dear Colleague,


The new CASS short course programme for 2009/10 is now out and includes 
courses on:
•Structural Equation Modelling for Cross-Sectional and Panel Data (by Dr 
Patrick Sturgis)

•Survey Data Analysis I: Introducing Descriptive and Inferential Statistics (by 
Dr Gabriele Durrant)

•Survey Data Analysis II: Introduction to Linear Regression Modelling (by OIga 
Maslovkaya)

•Questionnaire Design  (by Dr Pamela Campanelli)

•Methods for Missing Data: Multiple Imputation and Inverse Probability 
Weighting (by Dr James Carpenter)

•Essentials of Survey Design and Implementation (by Dr Pamela Campanelli)

•Data Linkage: An introduction to statistical and methodological issues (by Dr 
Nathalie Shlomo)

•Regression Methods (Dr Denise Silva)

•Applied Multilevel Modelling (by Dr Ian Brunton-Smith and Dr Gabriele Durrant)

•Longitudinal Data Analysis (by Prof Peter Smith, Dr Ann Berrington and Dr 
Marcel Vieira)

•The Psychology of Survey Response ( by Prof Roger Tourangeau)


Courses will be held in Southampton, London, Belfast, and Cardiff.

Please find further information and details on how to register at: 
http://www.s3ri.soton.ac.uk/cass/programme.php 

 
CASS is a programme of short courses covering topics in survey design, data 
collection and data analysis methods. Courses are aimed at academic social 
scientists and applied researchers in government, market research and the 
independent and voluntary sectors.

Teaching is interactive and responsive to course participants' needs. All 
courses include practical sessions or computer workshops to enable 
participants to put the learned methods into practice.

CASS regularly attracts international presenters and experts in their fields, 
such as staff from the US Joint Programme in Survey Methodology at the 
University of Maryland.

If you have any further questions please contact us at 
[log in to unmask] or look at our website 
www.southampton.ac.uk/cass 

Please note that spaces are limited and early booking is recommended. 


Best wishes


Your CASS team